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Long-Term Fairness with Unknown Dynamics

Long-Term Fairness with Unknown Dynamics

19 April 2023
Tongxin Yin
Reilly P. Raab
M. Liu
Yang Liu
    FaML
ArXivPDFHTML

Papers citing "Long-Term Fairness with Unknown Dynamics"

9 / 9 papers shown
Title
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
45
0
0
03 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics
Fairness in Reinforcement Learning with Bisimulation Metrics
S. Rezaei-Shoshtari
Hanna Yurchyk
Scott Fujimoto
Doina Precup
D. Meger
85
0
0
03 Jan 2025
Long-Term Fairness in Sequential Multi-Agent Selection with Positive
  Reinforcement
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
33
0
0
10 Jul 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
66
3
0
10 Jun 2024
Designing Long-term Group Fair Policies in Dynamical Systems
Designing Long-term Group Fair Policies in Dynamical Systems
Miriam Rateike
Isabel Valera
Patrick Forré
33
4
0
21 Nov 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation
  Strategies towards Equal Long-term Benefit Rate
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu
Chenghao Deng
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Jieyu Zhao
Furong Huang
32
4
0
07 Sep 2023
Provably Efficient Model-Free Constrained RL with Linear Function
  Approximation
Provably Efficient Model-Free Constrained RL with Linear Function Approximation
A. Ghosh
Xingyu Zhou
Ness B. Shroff
64
23
0
23 Jun 2022
Achieving Zero Constraint Violation for Constrained Reinforcement
  Learning via Primal-Dual Approach
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Qinbo Bai
Amrit Singh Bedi
Mridul Agarwal
Alec Koppel
Vaneet Aggarwal
107
56
0
13 Sep 2021
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
313
0
30 Oct 2017
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